A Real-time Computer Vision System for Biscuit Defect Inspection

Yu Wang, Chenbo Shi, Chun Zhang, Qingmin Liao

Abstract

This paper presents a computer vision system for biscuit defects inspection which contains both hardware and software. By utilizing the system with two cameras, we focus on the detection of biscuit partial deletion and cream overflow. For detecting partial deletion, a new algorithm with a membership function for calculating feature descriptor is proposed. It’s convenient and efficient to extract feature of textons. For cream overflow detection, a chemical property of enantiomers under polarized light is made use of distinguishing cream from background. The proposed system has been implemented on the production line. Groups of on-line experiments show that our system can achieve accurate defect detection with low missing detection rate and false alarm.

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Paper Citation


in Harvard Style

Wang Y., Shi C., Zhang C. and Liao Q. (2015). A Real-time Computer Vision System for Biscuit Defect Inspection . In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-089-5, pages 531-536. DOI: 10.5220/0005306705310536


in Bibtex Style

@conference{visapp15,
author={Yu Wang and Chenbo Shi and Chun Zhang and Qingmin Liao},
title={A Real-time Computer Vision System for Biscuit Defect Inspection},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={531-536},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005306705310536},
isbn={978-989-758-089-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2015)
TI - A Real-time Computer Vision System for Biscuit Defect Inspection
SN - 978-989-758-089-5
AU - Wang Y.
AU - Shi C.
AU - Zhang C.
AU - Liao Q.
PY - 2015
SP - 531
EP - 536
DO - 10.5220/0005306705310536